Delta Publications

Rapp, J. et al. Design of Tough 3D Printable Elastomers with Human-in-the-Loop Reinforcement Learning. Preprint at https://doi.org/10.26434/chemrxiv-2025-w1563 (2025).

Yang, Y., Taherian, H., Kalkhorani, V. A. & Wang, D. Elevating Robust Multi-Talker ASR by Decoupling Speaker Separation and Speech Recognition. Preprint at https://doi.org/10.48550/ARXIV.2503.17886 (2025).

Yan, J. & Snir, M. Contemplating a Lightweight Communication Interface for Asynchronous Many-Task Systems. Preprint at https://doi.org/10.48550/ARXIV.2503.15400 (2025).

Huang, H.-K., Park, S., Villa, U., Wang, L. V. & Anastasio, M. A. Gradient-free joint reconstruction of initial pressure distribution and wave speeds in transcranial photoacoustic computed tomography. in Photons Plus Ultrasound: Imaging and Sensing 2025 vol. 13319 97–103 (SPIE, 2025).

Pant, S. et al. Dissecting Large-Scale Structural Transitions in Membrane Transporters Using Advanced Simulation Technologies. J. Phys. Chem. B acs.jpcb.5c00104 (2025) http://doi.org/10.1021/acs.jpcb.5c00104.

Hu, Y. et al. Empirical Privacy Variance. Preprint at https://doi.org/10.48550/ARXIV.2503.12314 (2025).

Chung, A. K.-W., Lam, K. K.-H. & Yunes, N. Quasinormal mode frequencies and gravitational perturbations of spinning black holes in modified gravity through METRICS: The dynamical Chern-Simons gravity case. Preprint at https://doi.org/10.48550/ARXIV.2503.11759 (2025).

Yan, J., Kaiser, H. & Snir, M. Understanding the Communication Needs of Asynchronous Many-Task Systems -- A Case Study of HPX+LCI. Preprint at https://doi.org/10.48550/ARXIV.2503.12774 (2025).

Merzky, A. et al. Scalable Runtime Architecture for Data-driven, Hybrid HPC and ML Workflow Applications. Preprint at https://doi.org/10.48550/ARXIV.2503.13343 (2025).

Cui, S. et al. Characterizing GPU Resilience and Impact on AI/HPC Systems. Preprint at https://doi.org/10.48550/ARXIV.2503.11901 (2025).

You, Z. & Guo, Y. PlainQAFact: Automatic Factuality Evaluation Metric for Biomedical Plain Language Summaries Generation. Preprint at https://doi.org/10.48550/ARXIV.2503.08890 (2025).

Balaji, P. et al. Quantum Circuits for SU(3) Lattice Gauge Theory. Preprint at https://doi.org/10.48550/ARXIV.2503.08866 (2025).

Sasidharan, A., Xian-He, Lofstead, J. & Klasky, S. Performance Models for a Two-tiered Storage System. Preprint at https://doi.org/10.48550/ARXIV.2503.08966 (2025).

Prather, B. S. KHARMA: Flexible, Portable Performance for GRMHD. Preprint at https://doi.org/10.48550/ARXIV.2408.01361 (2024).

Arora, S. et al. ESPnet-SDS: Unified Toolkit and Demo for Spoken Dialogue Systems. Preprint at https://doi.org/10.48550/ARXIV.2503.08533 (2025).

Wilfong, B. et al. MFC 5.0: An exascale many-physics flow solver. Preprint at https://doi.org/10.48550/ARXIV.2503.07953 (2025).

Kearns, F. L. et al. D614G reshapes allosteric networks and opening mechanisms of SARS-CoV-2 spikes. Preprint at https://doi.org/10.1101/2025.03.07.642081 (2025).

Yang, Y., Taherian, H., Kalkhoriani, V. A. & Wang, D. Elevating Robust ASR By Decoupling Multi-Channel Speaker Separation and Speech Recognition. in ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (IEEE, Hyderabad, India, 2025). doi:https://doi.org/10.1109/ICASSP49660.2025.10888074.

Chung, J., Zhang, C. & Chen, T. Mobility Scooter Riding Behavior Stability Analysis Based on Multimodal Contrastive Learning. in 2024 IEEE International Conference on Big Data (BigData) 6439–6445 (IEEE, Washington, DC, USA, 2024). http://doi.org/10.1109/BigData62323.2024.10825478.

Hossain, R. et al. Virtual sensing-enabled digital twin framework for real-time monitoring of nuclear systems leveraging deep neural operators. npj Mater Degrad 9, 21 (2025).

Pulavarthi, V., Nandal, D., Dan, S. & Pal, D. Are LLMs Ready for Practical Adoption for Assertion Generation? Preprint at https://doi.org/10.48550/ARXIV.2502.20633 (2025).

Marques, J. M. C. et al. Map Space Belief Prediction for Manipulation-Enhanced Mapping. Preprint at https://doi.org/10.48550/ARXIV.2502.20606 (2025).

Singer, L. P. et al. Optimal Follow-Up of Gravitational-Wave Events with the UltraViolet EXplorer (UVEX). Preprint at https://doi.org/10.48550/ARXIV.2502.17560 (2025).

Tajwar, F. et al. Training a Generally Curious Agent. Preprint at https://doi.org/10.48550/ARXIV.2502.17543 (2025).

Fiotto-Kaufman, J. et al. NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals. Preprint at https://doi.org/10.48550/arXiv.2407.14561 (2025).

Bai, H., Zhou, Y., Li, L. E., Levine, S. & Kumar, A. Digi-Q: Learning Q-Value Functions for Training Device-Control Agents. Preprint at https://doi.org/10.48550/arXiv.2502.15760 (2025).

Xu, Z., Gupta, A., Li, T., Bentham, O. & Srikumar, V. Beyond Perplexity: Multi-dimensional Safety Evaluation of LLM Compression. Preprint at https://doi.org/10.48550/arXiv.2407.04965 (2024).

Xu, Z. et al. A Survey of Model Architectures in Information Retrieval. Preprint at https://doi.org/10.48550/ARXIV.2502.14822 (2025).

Li, Z. & Luo, Y. Rewiring protein sequence and structure generative models to enhance protein stability prediction. Preprint at https://doi.org/10.1101/2025.02.13.638154 (2025).

Gangwar, N., Bhat, S. P. & Kani, N. Integrating Arithmetic Learning Improves Mathematical Reasoning in Smaller Models. Preprint at https://doi.org/10.48550/ARXIV.2502.12855 (2025).

Srivastava, G., Cao, S. & Wang, X. Towards Reasoning Ability of Small Language Models. Preprint at https://doi.org/10.48550/ARXIV.2502.11569 (2025).

Luo, J. & Luo, Y. Learning maximally spanning representations improves protein function annotation. Preprint at https://doi.org/10.1101/2025.02.13.638156 (2025).

Chen, W. et al. OWLS: Scaling Laws for Multilingual Speech Recognition and Translation Models. Preprint at https://doi.org/10.48550/ARXIV.2502.10373 (2025).

Ozgulbas, D. G. et al. Probing the Role of Membrane in Neutralizing Activity of Antibodies Against Influenza Virus. Preprint at https://doi.org/10.1101/2025.02.11.637756 (2025).

Abedsoltan, A. et al. Task Generalization With AutoRegressive Compositional Structure: Can Learning From $\d$ Tasks Generalize to $\d^{T}$ Tasks? Preprint at https://doi.org/10.48550/ARXIV.2502.08991 (2025).

Chu, T., Estrada, J. B. & Bryngelson, S. H. Bayesian optimal design accelerates discovery of material properties from bubble dynamics. Preprint at https://doi.org/10.48550/ARXIV.2409.00011 (2024).

Choi, K., Yeo, E., Chang, K., Watanabe, S. & Mortensen, D. Leveraging Allophony in Self-Supervised Speech Models for Atypical Pronunciation Assessment. Preprint at https://doi.org/10.48550/ARXIV.2502.07029 (2025).

Beaglehole, D., Radhakrishnan, A., Boix-Adserà, E. & Belkin, M. Aggregate and conquer: detecting and steering LLM concepts by combining nonlinear predictors over multiple layers. Preprint at https://doi.org/10.48550/ARXIV.2502.03708 (2025).

Richards, C., Dima, A., Ferguson, D. & Witek, H. Growing black-hole hair in nonminimally coupled biscalar gravity. Preprint at https://doi.org/10.48550/ARXIV.2501.14034 (2025).

Osorio, J. et al. Keep it Local: Comparing Domain-Specific LLMs in Native and Machine Translated Text using Parallel Corpora on Political Conflict. in 2024 2nd International Conference on Foundation and Large Language Models (FLLM) 542–552 (IEEE, Dubai, United Arab Emirates, 2024). http://doi.org/10.1109/FLLM63129.2024.10852489.

Avdiunina, P., Jamal, S., Gusev, F. & Isayev, O. All that glitters is not gold: Importance of rigorous evaluation of proteochemometric models. Preprint at https://doi.org/10.26434/chemrxiv-2025-vbmgc (2025).

Pilny, A., Bonito, J. & Schecter, A. Coding Small Group Communication with AI: RNNs and Transformers with Context. Small Group Research 10464964251314196 (2025) http://doi.org/10.1177/10464964251314197.

Deng, J. et al. $\texttt{dattri}$: A Library for Efficient Data Attribution. Preprint at https://doi.org/10.48550/ARXIV.2410.04555 (2024).

Chen, W., Yan, B., Chen, C.-C. & Watanabe, S. Floras 50: A Massively Multilingual Multitask Benchmark for Long-Form Conversational Speech. in 2024 IEEE Spoken Language Technology Workshop (SLT) 891–898 (IEEE, Macao, 2024). http://doi.org/10.1109/SLT61566.2024.10832167.

Nakamura, T. et al. Discrete Speech Unit Extraction via Independent Component Analysis. Preprint at https://doi.org/10.48550/ARXIV.2501.06562 (2025).

Khot, A., Wang, X., Roy, A., Kindratenko, V. & Neubauer, M. S. Evidential Deep Learning for Uncertainty Quantification and Out-of-Distribution Detection in Jet Identification using Deep Neural Networks. Preprint at https://doi.org/10.48550/ARXIV.2501.05656 (2025).

Andrews, J., Weirich, K. & Schiller, U. D. Molecular-Scale Simulation of Wetting of Actin Filaments by Protein Droplets. J. Phys. Chem. B 129, 1109–1121 (2025).

Wang, S. et al. Deep CNN-based semi-supervised learning approach for identifying and segmenting corrosion in hydraulic steel and water resources infrastructure. Structural Health Monitoring 14759217241305040 (2025) http://doi.org/10.1177/14759217241305039.

Feng, J. T., Satheesan, S. P., Kong, S., Donders, T. H. & Punyasena, S. W. Addressing the open world: detecting and segmenting pollen on palynological slides with deep learning. Preprint at https://doi.org/10.1101/2025.01.05.631390 (2025).

Vatansever, D. & Levin, D. Collisionless Plasma Plume Expansion Under External Magnetic Fields. (2025).